Figure C.

Clustering of brain regions based on the typical age-dependency of regional morphometric similarity. A. The median normative morphometric similarity of the normative model of each cortical region was entered into a Principal Component Analysis (PCA). The first two components explaining 98.6% of the variance were selected. B. The Euclidean distance matrix was extracted from the PCA output and used for hierarchical clustering. A two cluster solution was determined optimal. C. Each plot shows the median normative fits for a cluster with the remaining normative fits in gray. The average fit across all fits belonging to a cluster is added in black. The cluster solution was also visualized on the cortex displaying the distribution of the two clusters across the cortex. L, left hemisphere, R, right hemisphere. The upper row are lateral views, the bottom row are medial views.